{"677760":{"#nid":"677760","#data":{"type":"event","title":"PhD Defense by Hang Wu","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EAdaptive causal inference and its applications\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EWednesday, October 30th\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETime:\u0026nbsp;\u003C\/strong\u003E4PM EST\u003C\/p\u003E\u003Cp\u003ELocation: Microsoft Team Meeting, Meeting ID 278 734 381 501, \u003Ca href=\u0022https:\/\/teams.microsoft.com\/l\/meetup-join\/19%3ameeting_M2RiN2U3MjktNTY2YS00ZTNmLWIwOGUtMjg3N2UxOGEzN2Q4%40thread.v2\/0?context=%7b%22Tid%22%3a%22482198bb-ae7b-4b25-8b7a-6d7f32faa083%22%2c%22Oid%22%3a%2255468697-adb2-4c45-80af-18d1a13cc4e4%22%7d\u0022 title=\u0022https:\/\/teams.microsoft.com\/l\/meetup-join\/19%3ameeting_M2RiN2U3MjktNTY2YS00ZTNmLWIwOGUtMjg3N2UxOGEzN2Q4%40thread.v2\/0?context=%7b%22Tid%22%3a%22482198bb-ae7b-4b25-8b7a-6d7f32faa083%22%2c%22Oid%22%3a%2255468697-adb2-4c45-80af-18d1a13cc4e4%22%7d\u0022\u003EJoin Link\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EHang Wu\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EMachine Learning PhD Student\u003C\/p\u003E\u003Cp\u003EBiomedical Engineering\u003Cbr\u003EGeorgia Institute of Technology\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E1 Dr. May D. Wang (Advisor), Biomedical Engineering, Georgia Tech \u0026amp; Emory University\u003C\/p\u003E\u003Cp\u003E2 Dr. Bo Dai, Computer Science \u0026amp; Engineering, Georgia Tech\u003C\/p\u003E\u003Cp\u003E3 Dr. Chao Zhang, Computer Science \u0026amp; Engineering, Georgia Tech\u003C\/p\u003E\u003Cp\u003E4 Dr. Duen Horng \u0022Polo\u0022 Chau, Computer Science \u0026amp; Engineering, Georgia Tech\u003C\/p\u003E\u003Cp\u003E5 Dr. Blake Anderson, Emory University\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ECausal inference is essential for understanding variable relationships and improving decision-making across domains such as policy analysis and biomedical research. In biomedical contexts, challenges like data scarcity, privacy regulations, and dataset heterogeneity complicate the development of robust causal models. This thesis introduces a novel framework for adaptive causal inference, leveraging meta-learning and transfer learning to enhance the transferability of knowledge and enable rapid adaptation to unseen data.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EWe address two key causal inference tasks: causal effect estimation and causal graph discovery, proposing adaptive algorithms that generalize across multi-source data and improve inference accuracy in heterogeneous settings. Applications of these methods include predictive biomedical imaging models, fair classification and policy systems, and algorithms for inferring causes of death. This work advances the development of personalized and reliable decision-making systems in healthcare and other fields.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EAdaptive causal inference and its applications\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Adaptive causal inference and its applications"}],"uid":"27707","created_gmt":"2024-10-21 13:41:45","changed_gmt":"2024-10-21 13:42:28","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-10-30T16:00:00-04:00","event_time_end":"2024-10-30T18:00:00-04:00","event_time_end_last":"2024-10-30T18:00:00-04:00","gmt_time_start":"2024-10-30 20:00:00","gmt_time_end":"2024-10-30 22:00:00","gmt_time_end_last":"2024-10-30 22:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Microsoft Team Meeting, Meeting ID 278 734 381 501, Join Link","extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}